Struggling to choose between HeidiSQL and mssql for Visual Studio Code? Both products offer unique advantages, making it a tough decision.
HeidiSQL is a Development solution with tags like mysql, mariadb, sql-server, postgresql, database, open-source.
It boasts features such as Graphical user interface for managing MySQL, MariaDB, SQL Server and PostgreSQL databases, Supports multiple database connections, Browse and edit database objects like tables, views, procedures, functions, triggers, events, Run SQL queries with syntax highlighting and autocompletion, Export query results to CSV, HTML, XML, JSON, Excel and more, User access management, Database backup and restore, Visual database design with drag and drop, SSL connections for secure data transfer, Cross-platform - works on Windows, Mac and Linux and pros including Free and open source, Easy to use intuitive interface, Lightweight and fast, Supports multiple database types, Active development and community support.
On the other hand, mssql for Visual Studio Code is a Development product tagged with sql, database, microsoft, visual-studio-code, intellisense, code-snippets, syntax-highlighting.
Its standout features include IntelliSense, Syntax highlighting, Code snippets, Query execution, Object explorer, and it shines with pros like Free and open source, Easy to install and use, Good integration with VS Code, Good for basic SQL operations.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
HeidiSQL is a free, open source SQL database management tool for Windows that supports MySQL, MariaDB, SQL Server and PostgreSQL databases. It provides a simple interface for browsing, creating and editing databases, tables, views, procedures, triggers and more.
mssql for Visual Studio Code is a free VS Code extension that allows you to connect to Microsoft SQL Server, Azure SQL Database, SQL Data Warehouse and SQL Server on Linux. It supports features such as intellisense, code snippets, syntax highlighting, and querying databases.